An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
arXiv:2505.03452v3 Announce Type: replace-cross Abstract: Optimizing Retrieval-Augmented Generation (RAG) configurations for specific tasks is a complex and resource-intensive challenge. Motivated…
Science in 2026: what to expect this year
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Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation
arXiv:2512.22199v1 Announce Type: new Abstract: Retrieval-Augmented Generation RAG systems enhance large language models by grounding responses in external knowledge bases,…
Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling
arXiv:2512.21798v2 Announce Type: replace-cross Abstract: Synthetic financial data provides a practical solution to the privacy, accessibility, and reproducibility challenges that…
APO: Alpha-Divergence Preference Optimization
arXiv:2512.22953v1 Announce Type: cross Abstract: Two divergence regimes dominate modern alignment practice. Supervised fine-tuning and many distillation-style objectives implicitly minimize…
Heterogeneity in Multi-Agent Reinforcement Learning
arXiv:2512.22941v1 Announce Type: cross Abstract: Heterogeneity is a fundamental property in multi-agent reinforcement learning (MARL), which is closely related not…
Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-Tuning
arXiv:2512.20629v2 Announce Type: replace-cross Abstract: This study proposes a multi-agent language framework that enables continual strategy evolution without fine-tuning the…
From Visual Perception to Deep Empathy: An Automated Assessment Framework for House-Tree-Person Drawings Using Multimodal LLMs and Multi-Agent Collaboration
arXiv:2512.21360v1 Announce Type: new Abstract: Background: The House-Tree-Person (HTP) drawing test, introduced by John Buck in 1948, remains a widely…
One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents
arXiv:2512.20957v2 Announce Type: replace-cross Abstract: Locating the files and functions requiring modification in large open-source software (OSS) repositories is challenging…
MMCTOP: A Multimodal Textualization and Mixture-of-Experts Framework for Clinical Trial Outcome Prediction
arXiv:2512.21897v1 Announce Type: cross Abstract: Addressing the challenge of multimodal data fusion in high-dimensional biomedical informatics, we propose MMCTOP, a…